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Proficiency in programming languages such as Python and R, with experience in data analysis and machine learning libraries. PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable. Stay informed with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences.
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You’ll report directly to Stephen Liu, Co-Founder and COO of Methodology, and work in parallel alongside both our Chief Business Operations Officer and our Menu Design Admin Team, who oversees all menu data input, culinary scheduling, cook sheet production and organization, and purchasing.
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Develop complex inquiries with SQL, Python and ETL to perform analyses of the underlying data in our systems and highlight trends, issues, and findings. Serve as a key Subject Matter Expert in the implementation of new technology initiatives to enhance the Compliance data repositories, reporting, analytics, and overall program with a strong focus on AML/BSA compliance.
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Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work Minimum Requirements/Qualifications: PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 7+ years experience , or MS with 13+ years experience, or BS with 15+ years experience.
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Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline. Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Chemistry, Clinical Pharmacology, Clinical Research, Drug Discovery, Initiative, Medical Research, Patient Care, Physiology, Quality Control, R&D (Research And Development), Simulation Software, Translational Medicine.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and 8+ years of related work experience Experience with Agile Development Methodologies (E.g. scrum, SAFe) Extensive Experience with Windows & Windows Server 2012 r2+ Experience with programming languages (E.g. Python, Java, Ruby, Bash, C.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step- change in our ability to leverage data, knowledge, and prediction to find new medicines.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Experience with the development of measurement systems including with computer programming for data acquisition (e.g., using Python, Matlab, or LabVIEW) is also desired. These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond-CMOS circuit technologies, energy-starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Ability to apply statistical and machine learning techniques to large clinical variables and OMIC data setsExperience in Programming with R, Python, MATLAB, and/or Java that focus on computational biological applications for clinical dataPrepare detailed quality control report workflows for evaluation by principal investigators and other staff members.
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computer science data python r jobs Title: data analyst product in Somerville, MA
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